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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (9): 3050-3059.doi: 10.7527/S1000-6893.2014.0293

• Electronics and Control • Previous Articles     Next Articles

A location algorithm suitable for MLAT surveillance system at airport surface and its performance analysis

PENG Wei1,2, HUANG Rongshun1, GUO Jianhua1, JIANG Kai1, HE Donglin1   

  1. 1. The Second Research Institute of General Administration of Civil Aviation of China, Chengdu 610041, China;
    2. School of Business, Sichuan Agricultural University, Chengdu 611830, China
  • Received:2014-08-12 Revised:2014-10-21 Online:2015-09-15 Published:2014-11-15
  • Supported by:

    National Nature Science Foundation of China and Chinese Civil Aviation Jointly Funded Foundation Project(U1433129); The Scientific Research Fund of Sichuan Provincial Education Department(13ZB0287); Aeronautical Mobile Airport Communication System(14014J0340030)

Abstract:

Instead of regular three-dimensional targets, the height of targets at airport surface is a known constant and it should be considered when designing an multilateration (MLAT) system suitable for surveillance at civil airport surface. Based on the characteristics of target at airport surface and MLAT, we propose a modified time of difference arrival (TDOA) positioning algorithm, which is especially useful for MLAT system for the airport surface surveillance. Compared with traditional three-dimensional positioning way, the proposed algorithm not only improves the positioning accuracy but also gets greater system robustness. A corresponding Cramer-Rao lower bound(CRLB) of this algorithm is achieved, and the theoretical relation between two-dimensional and three-dimensional positioning algorithms is deduced, which further proves that the algorithm has higher precision than three-dimensional way. Meanwhile we use condition number theory to prove that the proposed algorithm has stronger robustness than three-dimensional positioning way. The simulation and practical measured data verify the correctness and effectiveness of the above conclusions.

Key words: multilateration system, condition numbers, time of difference arrival, Cramer-Rao lower bound, robustness, passive location

CLC Number: